Instructions to use krishnatherokar/captcha-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use krishnatherokar/captcha-recognition with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://krishnatherokar/captcha-recognition") - Notebooks
- Google Colab
- Kaggle
Download assets/summary_plot.png from krishnatherokar/captcha-recognition: direct link, hf CLI and curl.
- Browser
- Download file 955 kB
-
https://huggingface.co/krishnatherokar/captcha-recognition/resolve/main/assets/summary_plot.png
- Command line
-
hf download hf://krishnatherokar/captcha-recognition/assets/summary_plot.png
-
curl -L -o summary_plot.png https://huggingface.co/krishnatherokar/captcha-recognition/resolve/main/assets/summary_plot.png
955 kB

- Xet hash:
- 9a17d2778fb813b95ecd384c1424a943f2777163a6694d08ada7af1f2fd69292
- Size of remote file:
- 955 kB
- SHA256:
- 04b148f45af261a36ff4c4dc17fb7e9c52015293472af8ee0444e0fc11d4d7c1
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